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LSST control software component design

Lotz, Paul
Gregory P. Dubois-Felsmann ; Kian-Tat Lim ; Tony Johnson ; Srinivasan Chandrasekharan ; David Mills ; Philip Daly ; Germán Schumacher ; Francisco Delgado ; Steve Pietrowicz ; Brian Selvy ; Jacques Sebag ; Stuart Marshall ; Harini Sundararaman ; Christopher Contaxis ; Robert Bovill ; Tim Jenness
Paul J. Lotz ; Gregory P. Dubois-Felsmann ; Kian-Tat Lim ; Tony Johnson ; Srinivasan Chandrasekharan ; David Mills ; Philip Daly ; Germán Schumacher ; Francisco Delgado ; Steve Pietrowicz ; Brian Selvy ; Jacques Sebag ; Stuart Marshall ; Harini Sundararaman ; Christopher Contaxis ; Robert Bovill ; Tim Jenness; LSST control software component design. Proc. SPIE 9913, Software and Cyberinfrastructure for Astronomy III, 991309 (August 8, 2016); doi:10.1117/12.2231796.
Publication Date: 
Monday, August 8, 2016
Type: 
Conference Papers
SPIE
Tags: 
Citable: 
no
SPIE Proceedings
Volume: 
9913
Abstract: 
Construction of the Large Synoptic Survey Telescope system involves several different organizations, a situation that poses many challenges at the time of the software integration of the components. To ensure commonality for the purposes of usability, maintainability, and robustness, the LSST software teams have agreed to the following for system software components: a summary state machine, a manner of managing settings, a flexible solution to specify controller/controllee relationships reliably as needed, and a paradigm for responding to and communicating alarms. This paper describes these agreed solutions and the factors that motivated these. © (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Publication-105
Reviewed Under: 
LSST Project Publication Policy
Bibtex reference: 
@proceeding{doi:10.1117/12.2231796, author = {Lotz, Paul J. and Dubois-Felsmann, Gregory P. and Lim, Kian-Tat and Johnson, Tony and Chandrasekharan, Srinivasan and Mills, David and Daly, Philip and Schumacher, Germán and Delgado, Francisco and Pietrowicz, Steve and Selvy, Brian and Sebag, Jacques and Marshall, Stuart and Sundararaman, Harini and Contaxis, Christopher and Bovill, Robert and Jenness, Tim}, title = { LSST control software component design }, journal = {Proc. SPIE}, volume = {9913}, number = {}, pages = {991309-991309-20}, abstract = { Construction of the Large Synoptic Survey Telescope system involves several different organizations, a situation that poses many challenges at the time of the software integration of the components. To ensure commonality for the purposes of usability, maintainability, and robustness, the LSST software teams have agreed to the following for system software components: a summary state machine, a manner of managing settings, a flexible solution to specify controller/controllee relationships reliably as needed, and a paradigm for responding to and communicating alarms. This paper describes these agreed solutions and the factors that motivated these. }, year = {2016}, doi = {10.1117/12.2231796}, URL = { http://dx.doi.org/10.1117/12.2231796}, eprint = {} }

Financial support for Rubin Observatory comes from the National Science Foundation (NSF) through Cooperative Agreement No. 1258333, the Department of Energy (DOE) Office of Science under Contract No. DE-AC02-76SF00515, and private funding raised by the LSST Corporation. The NSF-funded Rubin Observatory Project Office for construction was established as an operating center under management of the Association of Universities for Research in Astronomy (AURA).  The DOE-funded effort to build the Rubin Observatory LSST Camera (LSSTCam) is managed by the SLAC National Accelerator Laboratory (SLAC).
The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.
NSF and DOE will continue to support Rubin Observatory in its Operations phase. They will also provide support for scientific research with LSST data.   




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